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Specifying, detecting and analysing emergent behaviours in multi-level agent-based simulations

Chen, CC; Nagl, SB; Clack, CD; (2007) Specifying, detecting and analysing emergent behaviours in multi-level agent-based simulations. In: Weiner, GA, (ed.) Proceedings of the 2007 Summer Computer Simulation Conference. (pp. pp. 969-976). ACM: Association for Computing Machinery: San Diego, CA, USA. Green open access

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Abstract

We introduce a method for analysing emergent behaviours in multi-agent simulations using complex events. Complex events are composed of interrelated events, and they can be defined at any level of spatio-temporal abstraction (equal to or above the lowest level of abstraction given by the model). Minimal types of complex events define sets, which are equated with particular emergent behaviours and can be detected in simulation. Since complex events are derived from the agent-based model itself, they provide significant benefits when compared with traditional state-aggregation methods. First, they provide a method of specifying emergent behaviour, so that such behaviour can be monitored. Second, they provide a mechanism that retains the underlying structure of that behaviour. This latter property supports analysis of the mechanisms at lower levels that give rise to emergent behaviours, and identification of patterns between levels. In other words, multi-agent simulations become less 'opaque' [1].

Type: Proceedings paper
Title: Specifying, detecting and analysing emergent behaviours in multi-level agent-based simulations
Event: SCSC07: 2007 Summer Computer Simulation Conference
ISBN-13: 9781622763580
Open access status: An open access version is available from UCL Discovery
DOI: 10.5555/1357910.1358062
Publisher version: http://dx.doi.org/10.5555/1357910.1358062
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Agent-Directed Simulation, Complexity, Complex Systems, System Dynamics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10087101
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